26 post-doc-computer-graphics Postdoctoral positions at Aalborg University in Denmark
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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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offered on the psychology programme Undertake research and publish research output of an internationally recognized quality Engage in external research networks and collaborations Engage in knowledge
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simulation of circuits in QSpice and LTSpice and programming of design tools using C and Phyton. The hardware test platforms are controlled by microcontrollers and it is needed to program the microcontrollers
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program, financed by the Villum Foundation, focused on the sustainable reuse of decommissioned wind turbine blades - made from fiber-reinforced polymers composites (FRP) – repurposed for civil construction
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total at Aalborg University. Profile: The ideal candidate has A PhDdegree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of SatCom system analysis and design as per February 15, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of...
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of machine learning and decisions applied in cooling systems as per January 1, 2026, or as soon as possible thereafter. The position is available for a period of 2,5...
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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial